Lingxing Ma

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lingxing Ma trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Karen Simonyan (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Lingxing Ma's perspective

Ordered by how strongly the researchers Lingxing Ma trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. VQA: Visual Question Answering
  3. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Translating Embeddings for Modeling Multi-relational Data
  7. Stacked Attention Networks for Image Question Answering
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers